Bidirectional recurrent convolutional networks for multi-frame super-resolution

Advances in Neural Information Processing Systems

Volumn 2015-January, Issue , 2015, Pages 235-243

  Huang, Yan ^a   Wang, Wei ^a   Wang, Liang ^a,b  

^a INSTITUTE OF AUTOMATION   (China)

^b Shenzhen Fundamental Research Institutions   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX NETWORKS; CONVOLUTION; FACE RECOGNITION; INFORMATION SCIENCE; OPTICAL RESOLVING POWER;

CONTEXTUAL INFORMATION; CONVOLUTIONAL NETWORKS; DEPENDENCY MODELLING; LOW COMPUTATIONAL COMPLEXITY; LOW RESOLUTION VIDEO; RECURRENT NEURAL NETWORK (RNNS); STATE-OF-THE-ART PERFORMANCE; VIDEO SUPER-RESOLUTION;

RECURRENT NEURAL NETWORKS;

EID: 84965157764     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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